Instructions to use grexit-d/multipride_umberto_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grexit-d/multipride_umberto_ner with Transformers:
# Load model directly from transformers import UmBERToWithNER model = UmBERToWithNER.from_pretrained("grexit-d/multipride_umberto_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f92ee6bed16bdbf56d4e490d8fb1c51404e2538fbf6348ce299fb2c0f04c61b8
- Size of remote file:
- 794 kB
- SHA256:
- 33bf860fe6617aef791cff1de421f4e513a4df3049bfe9fdb7273bf69d444437
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